Mechanical Engineer & Python Expert - Freelance AI Trainer

March 30, 2026
Open
Open
Location
Vietnam
Occupation
Part-time
Experience level
Mid-level
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Job Summary

Join Mindrift on a remote, project-based contract, collaborating with top tech companies to test and improve AI systems through engineering problem design. Expect flexible workload (10–20 hours/week during active phases) and competitive pay, with earnings up to $37 per hour. Tasks involve creating computational engineering problems, verifying Python solutions, and clearly documenting your work.

Applicants should have a degree in Mechanical Engineering or a related field, professional Python proficiency (or similar programming skills), and at least 2 years experience in applied or research settings. Strong written English (C1+) is necessary, and certifications (e.g., CMME, CAP) or international project experience are a plus.

This is a part-time, non-permanent opportunity suitable for engineers seeking flexible, impactful projects and exposure to AI development. Compensation and workload vary by project; there is no guaranteed minimum.

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Please submit your CV in English and indicate your level of English proficiency.

Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation isproject-based, not permanent employment.

What this opportunity involves

While each project involves unique tasks, contributors may: 

  • Design original computational engineering problems that simulate real engineering workflows;
  • Create problems requiring Python programming to solve engineering calculations and simulations;
  • Ensure problems are computationally intensive and require numerical methods or iterative solutions;
  • Develop problems involving system design, optimization, and analysis;
  • Base problems on real research challenges or practical applications from engineering practice;
  • Verify solutions using Python with standard engineering libraries;
  • Document problem statements clearly and provide verified correct answers

What we look for

This opportunity is a good fit for engineers with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have: 

  • Degree in Mechanical Engineering or related fields; 
  • Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent;
  • 2+ years of professional experience: applied, research, or teaching experience is applicable;
  • Understanding of practical engineering constraints and approximations;
  • Strong written English (C1+);
  • Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects are an advantage.

How it works

Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid

Project time expectations

For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.

Compensation

On this project, contributors can earn up to $37 per hour equivalent, depending on their level and pace of contribution.

Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.

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Mindrift
Welcome to Mindrift — a space where innovation meets opportunity. We're a pioneering platform dedicated to advancing the field of artificial intelligence through collaborative online projects. Our focus lies in creating data for generative AI, offering a unique chance for freelancers to contribute to AI development from anywhere, at any time. At Mindrift, we believe in the power of collective intelligence to shape the future of AI. Our platform allows users to dive into a variety of tasks — ranging from creating training prompts for AI models to refining AI responses for greater relevance. Let's build the future of AI together, one task at a time.
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Company size
1,001-5,000
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Industry
Information Technology & Services
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